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Showing results 56065 to 56084 of 103823 < previous   next >
PreviewIssue DateTitleAuthor(s)
2005M-theory and characteristic classesSati, Hicham Hisham
2004M-theory, type IIA superstrings, and elliptic cohomologyKriz, Igor; Sati, Hicham Hisham
2015(M-theory-)Killing spinors on symmetric spacesHustler, N.; Lischewski, A.
2016M-type pyruvate kinase isoforms and lactate dehydrogenase a in the mammalian retina: metabolic implicationsCasson, R.; Wood, J.; Han, G.; Kittipassorn, T.; Peet, D.; Chidlow, G.
2003M/C: a journal of media and culture / Fight, 2003; 6 (1)Burgess, Jean; McEntee, Joy Susan; Nelms, Emma
2020M/M/infinity birth-death processes - a quantitative representational framework to summarize and explain phase singularity and wavelet dynamics in atrial fibrillationDharmaprani, D.; Jenkins, E.; Aguilar, M.; Quah, J.X.; Lahiri, A.; Tiver, K.; Mitchell, L.; Kuklik, P.; Meyer, C.; Willems, S.; Clayton, R.; Nash, M.; Nattel, S.; McGavigan, A.D.; Ganesan, A.N.
2004M87 - a misaligned synchrotron-proton blazar?Reimer, A.; Protheroe, R.; Donea, A.
2004M87 as a misaligned synchrotron-proton blazarReimer, A.; Protheroe, R.; Donea, A.
2004M87 as a Misaligned Synchrotron-Proton BlazarReimer, A.; Protheroe, R.; Donea, A.; International Cosmic Ray Conference (28th : 2003 : Tsukuba, Japan)
2001Maamingidae, a new family of proctotrupoid wasp (Insecta : Hymenoptera) from New ZealandEarly, J.; Masner, L.; Naumann, I.; Austin, A.
2002Maamingidae, a new family of Proctotrupoidea unique to New ZealandEarly, J.; Masner, L.; Naumann, I.; Austin, A.; International Symposium: "Parastic Hymenoptera: Taxonomy and Biological Control (2001 : Koszeg, Hungary)
2002MABO: Where have we been and where have we yet to travel?Selway, Bradley Maxwell
2003Mabuza, LindiweDriver, D.
2017Macau DaysCastro, B.A.; Young, J.
2017Macau Days Sound InstallationHarrald, L.A.; Castro, B.
2012Macaulay's IPC - a success at home, overlooked abroadTaylor, G.
2004Macdonald, Sir Archibald, first baronet (1747–1826), judge and politicianLemmings, D.
2008Machine intelligence, adaptive business intelligence, and natural intelligenceMichalewicz, Z.; Michalewicz, M.
2020Machine learning and scoring functions (SFs) for molecular drug discovery: Prediction and characterisation of druggable drugs and targetsHudson, I.L.; Leemaqz, S.Y.; Abell, A.D.; Cartwright, H.M.
2015Machine learning based classification of microsatellite variation: an effective approach for phylogeographic characterization of olive populationsTorkzaban, B.; Kayvanjoo, A.; Ardalan, A.; Mousavi, S.; Mariotti, R.; Baldoni, L.; Ebrahimie, E.; Ebrahimi, M.; Hosseini-Mazinani, M.; Kalaitzis, P.